Latest from IBM Developer : Improve Watson Discovery results using API-based relevancy training

Summary Developers use the IBM Watson Discovery service to rapidly add a cognitive, search, and content analytics engine to applications. With that engine, they can identify patterns, trends, and insights from unstructured data that can drive better decision making. Sometimes, you want to improvise the search results by providing more training details. Relevance training is…

Latest from IBM Developer : Enhance customer helpdesks with Smart Document Understanding using the Watson Assistant search skill

Summary In this developer code pattern, we use the typical customer care chatbot experience, but instead of relying on predefined responses the dialog provides a hook that can call out to other IBM® Watson services for additional sources of information. In this case, it’s an owners manual that has been uploaded to Watson Discovery. Note:…

Latest from IBM Developer : Capture clickstream data from your ecommerce website

Summary In this developer code pattern, we will show how to create a database of ecommerce clickstream data with DataStax Enterprise or Apache Cassandra. Using Red Hat OpenShift and the DataStax Kubernetes Operator for Apache Cassandra, you can deploy this distributed database on-premises or on your cloud provider of choice with a unified OpenShift experience….

In MIT visit, Dropbox CEO Drew Houston ’05 explores the accelerated shift to distributed work

When the cloud storage firm Dropbox decided to shut down its offices with the outbreak of the Covid-19 pandemic, co-founder and CEO Drew Houston ’05 had to send the company’s nearly 3,000 employees home and tell them they were not coming back to work anytime soon. “It felt like I was announcing a snow day or…

Artificial intelligence sheds light on how the brain processes language

In the past few years, artificial intelligence models of language have become very good at certain tasks. Most notably, they excel at predicting the next word in a string of text; this technology helps search engines and texting apps predict the next word you are going to type. The most recent generation of predictive language…

One autonomous taxi, please

If you don’t get seasick, an autonomous boat might be the right mode of transportation for you.  Scientists from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) and the Senseable City Laboratory, together with Amsterdam Institute for Advanced Metropolitan Solutions (AMS Institute) in the Netherlands, have now created the final project in their self-navigating trilogy:…

3 Questions: Investigating a long-standing neutrino mystery

Neutrinos are one of the most mysterious members of the Standard Model, a framework for describing fundamental forces and particles in nature. While they are among the most abundant known particles in the universe, they interact very rarely with matter, making their detection a challenging experimental feat. One of the long-standing puzzles in neutrino physics…

Making machine learning more useful to high-stakes decision makers

The U.S. Centers for Disease Control and Prevention estimates that one in seven children in the United States experienced abuse or neglect in the past year. Child protective services agencies around the nation receive a high number of reports each year (about 4.4 million in 2019) of alleged neglect or abuse. With so many cases,…

3 Questions: Blending computing with other disciplines at MIT

The demand for computing-related training is at an all-time high. At MIT, there has been a remarkable tide of interest in computer science programs, with heavy enrollment from students studying everything from economics to life sciences eager to learn how computational techniques and methodologies can be used and applied within their primary field. Launched in…